Deep Learning - Deep Neural Network for Beginners Using Python - Splitting the Data (NN Implementation)

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Information Technology (IT), Architecture, Social Studies
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University
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Hard
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7 questions
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1.
OPEN ENDED QUESTION
3 mins • 1 pt
Explain the purpose of typecasting the length of processed data into an integer.
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2.
OPEN ENDED QUESTION
3 mins • 1 pt
What percentage of the data is used for training in the discussed method?
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3.
OPEN ENDED QUESTION
3 mins • 1 pt
What is the significance of the 'replace' parameter set to false in the sampling process?
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4.
OPEN ENDED QUESTION
3 mins • 1 pt
How are the training and testing datasets created from the processed data?
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5.
OPEN ENDED QUESTION
3 mins • 1 pt
How can the train-test split ratio be adjusted according to the text?
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6.
OPEN ENDED QUESTION
3 mins • 1 pt
Describe how features and labels are separated in the training data.
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7.
OPEN ENDED QUESTION
3 mins • 1 pt
What is the role of the 'targets' variable in the context of the training data?
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